Papers
4
Total Citations
31
H-Index
4
About
Oleksii Tsepa is a researcher at the forefront of wearable robotics and human-machine interaction, with a focus on enabling natural, continuous locomotion for individuals with mobility impairments. His work bridges the gap between robotic leg prostheses and exoskeletons and real-world walking environments. Tsepa’s major contributions include pioneering continuous prediction of leg kinematics using inertial sensors and smart glasses, moving beyond traditional hierarchical controllers to allow seamless, mode-free walking. He has also advanced visual perception for human-robot walking through semi-supervised learning, leveraging large-scale datasets like ExoNet and StairNet—the largest open-source image datasets of real-world walking environments—to improve convolutional neural network efficiency. With key papers from 2023 accumulating over 30 citations, his research is gaining traction for its practical impact on assistive technology. Tsepa’s work is notable for its integration of embedded computing and efficient perception, promising more natural mobility solutions that adapt to dynamic environments without requiring high-level mode switching.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4